Network Profile
Overall Strength
57.14%
of network
(13.27B)
Direct Connections
20
Node & Network Strength Details
How is this calculated? The math continuously tracks how strongly this post is connected to the rest of the website.
Every tag forms a network link. The pie charts below show each connected post's base strength (PV) and influence (IV) as a share of this post's direct neighbourhood.
// 1. Base variables (minimum value of 1 to prevent zero-multiplication issues)
Outbound ($in) = max(1, 10) =
10
Inbound ($out) = max(1, 10) =
10
// 2. Node Base Values
Base Strength (PV) = $in × $out = 10 × 10 =
100
Base Influence (IV) = $in ÷ $out = 10 ÷ 10 =
1
// 3. Network Exponential Values (accumulating 11 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
13.27B
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Base Node Strength
100
Base Node Influence
1
Connected Nodes
11
Strength Share (vs Direct Neighbours)
- This Post (57.14%)
- Heavy Stereo (14.29%)
- Aubrey Nunn (5.14%)
- Ross McFarlane (5.14%)
- Ray Wilson (2.29%)
- Ali Ferguson (2.29%)
- Jon Fratelli (2.29%)
- James Finnigan (2.29%)
- Lawrie MacMillan (2.29%)
- Nir Zidkyahu (2.29%)
- Steve Wilson (14) (2.29%)
- Tessa Sturridge (2.29%)
Influence Share (vs Direct Neighbours)
- This Post (8.33%)
- Ray Wilson (8.33%)
- Heavy Stereo (8.33%)
- Ali Ferguson (8.33%)
- Jon Fratelli (8.33%)
- James Finnigan (8.33%)
- Aubrey Nunn (8.33%)
- Lawrie MacMillan (8.33%)
- Nir Zidkyahu (8.33%)
- Ross McFarlane (8.33%)
- Steve Wilson (14) (8.33%)
- Tessa Sturridge (8.33%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Last calculated math cycle: May 5, 2:00 AM
Analyzing Network Connections...
👁️ 36 Views
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